Machine Learning and Systems Engineering (Paperback, 2010 ed.)

A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October 20-22, 2009, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2009). Machine Learning and Systems Engineering contains forty-six revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Machine Learning and Systems Engineering offers the state of the art of tremendous advances in machine learning and systems engineering and also serves as an excellent reference text for researchers and graduate students, working on machine learning and systems engineering.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Lecture Notes in Electrical Engineering, 68
Release date:	December 2012
First published:	2010
Editors:	Sio-Iong Ao • Burghard B. Rieger • Mahyar Amouzegar
Dimensions:	235 x 155 x 32mm (L x W x T)
Format:	Paperback
Pages:	614
Edition:	2010 ed.
ISBN-13:	978-9400733749
Categories:	Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	9400733747
Barcode:	9789400733749

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